commands in managed lab envs

Instructions/Labs/01-analyze-text.md

@@ -77,8 +77,8 @@ You'll develop your code using Cloud Shell from the Azure Portal. The code files
 1. Create a Python virtual environment and install the Azure AI Language Text Analytics SDK package and other required packages by running the following command:
 
     ```
-    python -m venv labenv
-    ./labenv/bin/Activate.ps1
+    python -m venv labenv;
+    ./labenv/bin/Activate.ps1;
     pip install -r requirements.txt azure-ai-textanalytics==5.3.0
     ```
 

Instructions/Labs/02-qna.md

@@ -177,9 +177,9 @@ You'll develop your question answering app using Cloud Shell in the Azure portal
 1. Create a Python virtual environment and install the Azure AI Language Question Answering SDK package and other required packages by running the following command:
 
     ```
-   python -m venv labenv
-   ./labenv/bin/Activate.ps1
-   pip install -r requirements.txt azure-ai-language-questionanswering
+   python -m venv labenv;
+    ./labenv/bin/Activate.ps1;
+    pip install -r requirements.txt azure-ai-language-questionanswering
     ```
 
 1. Enter the following command to edit the configuration file:

Instructions/Labs/03-language-understanding.md

@@ -360,9 +360,9 @@ You'll develop your language understanding app using Cloud Shell in the Azure po
 1. Create a Python virtual environment and install the Azure AI Language Conversations SDK package and other required packages by running the following command:
 
     ```
-   python -m venv labenv
-    ./labenv/bin/Activate.ps1
-   pip install -r requirements.txt azure-ai-language-conversations==1.1.0
+   python -m venv labenv;
+    ./labenv/bin/Activate.ps1;
+    pip install -r requirements.txt azure-ai-language-conversations==1.1.0
     ```
 1. Enter the following command to edit the configuration file:
 

Instructions/Labs/04-text-classification.md

@@ -223,9 +223,9 @@ To test the custom text classification capabilities of the Azure AI Language ser
 1. Create a Python virtual environment and install the Azure AI Language Text Analytics SDK package and other required packages by running the following command:
 
     ```
-   python -m venv labenv
-   ./labenv/bin/Activate.ps1
-   pip install -r requirements.txt azure-ai-textanalytics==5.3.0
+   python -m venv labenv;
+    ./labenv/bin/Activate.ps1;
+    pip install -r requirements.txt azure-ai-textanalytics==5.3.0
     ```
 
 1. Enter the following command to edit the application configuration file:

Instructions/Labs/05-extract-custom-entities.md

@@ -200,9 +200,9 @@ To test the custom entity extraction capabilities of the Azure AI Language servi
 1. Create a Python virtual environment and install the Azure AI Language Text Analytics SDK package and other required packages by running the following command:
 
     ```
-   python -m venv labenv
-   ./labenv/bin/Activate.ps1
-   pip install -r requirements.txt azure-ai-textanalytics==5.3.0
+   python -m venv labenv;
+    ./labenv/bin/Activate.ps1;
+    pip install -r requirements.txt azure-ai-textanalytics==5.3.0
     ```
 
 1. Enter the following command to edit the application configuration file:

Instructions/Labs/06-translate-text.md

@@ -72,8 +72,8 @@ To test the text translation capabilities of Azure AI Translator, you'll develop
 1. Create a Python virtual environment and install the Azure AI Translation SDK package and other required packages by running the following command:
 
     ```
-   python -m venv labenv
-   ./labenv/bin/Activate.ps1
+   python -m venv labenv;
+   ./labenv/bin/Activate.ps1;
    pip install -r requirements.txt azure-ai-translation-text==1.0.1
     ```
 

Instructions/Labs/07-speech.md

@@ -76,8 +76,8 @@ Let's start by creating an Azure AI Speech resource.
 1. Create a Python virtual environment and install the Azure AI Speech SDK package and other required packages by running the following command:
 
     ```
-   python -m venv labenv
-   ./labenv/bin/Activate.ps1
+   python -m venv labenv;
+   ./labenv/bin/Activate.ps1;
    pip install -r requirements.txt azure-cognitiveservices-speech==1.42.0
     ```
 

Instructions/Labs/08-translate-speech.md

@@ -71,8 +71,8 @@ Let's start by creating an Azure AI Speech resource.
 1. Create a Python virtual environment and install the Azure AI Speech SDK package and other required packages by running the following command:
 
     ```
-    python -m venv labenv
-    ./labenv/bin/Activate.ps1
+    python -m venv labenv;
+    ./labenv/bin/Activate.ps1;
     pip install -r requirements.txt azure-cognitiveservices-speech==1.42.0
     ```
 

Instructions/Labs/09-audio-chat.md

@@ -94,8 +94,8 @@ Now that you deployed a model, you can use the Azure AI Foundry and Azure AI Mod
 1. In the cloud shell command line pane, enter the following command to install the libraries you'll use:
 
     ```
-   python -m venv labenv
-   ./labenv/bin/Activate.ps1
+   python -m venv labenv;
+   ./labenv/bin/Activate.ps1;
    pip install -r requirements.txt azure-identity azure-ai-projects openai
     ```